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TensorFlow 2 0 for Deep

Track :

Programming

Lessons no : 7

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What will you learn in this course?
  • Build and train deep neural networks using TensorFlow 2.0 for real-world machine learning applications
  • Implement TensorFlow 2.0 models for image recognition, natural language processing, and predictive analytics
  • Optimize deep learning models with TensorFlow 2.0 for improved accuracy and performance
  • Utilize TensorFlow 2.0 tools and libraries to streamline deep learning workflows and model deployment
  • Apply best practices for debugging, tuning, and scaling TensorFlow 2.0 deep learning models
  • Develop custom neural network architectures using TensorFlow 2.0 for specific AI and machine learning tasks

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
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  • The Certificate is free !
Lessons | 7


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Rizqi El hachmi 

good
2025-11-07

Sukanya khan 

Great
2025-09-08

srizoni-maity 

best
2025-08-16

Baishakhi 

its informative
2025-08-16

Sibiabisekh k 

Good
2025-05-28

Gokul Yogesh 

Good
2025-05-28

Vishnu 

Good
2025-05-28

Hemanth P 

good course
2025-05-04

Punitha N 

Good
2025-04-24

JOSHUA ENGHOG BELOTINDOS 

Thx for everything
2025-03-19

ABISHEIK RAMANATHAN A ECE 

Very Good
2025-02-19

KAMJULA LAKSHMI KANTH REDDY 

good
2024-09-25

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Tensorflow is the most popular and apparently best Deep Learning Framework out there. Why is that? TensorFlow is a framework created by Google for creating Deep Learning models. Deep Learning is a category of machine learning models (=algorithms) that use multi-layer neural networks.